AI revolution may deepen global economic stagnation, report warns
NEW YORK, UNITED STATES — Multibillion-dollar artificial intelligence (AI) boom could trigger a systemic collapse of the service economy by 2028, wiping out swaths of white-collar jobs and crushing consumer demand across the Global North, according to a new analysis from Citrini Research.
The report, titled “The 2028 Global Intelligence Crisis,” is framed as a fictional postmortem arguing that AI’s success — not its failure — would hollow out the industries that have long anchored middle-class employment.
White-collar jobs face “digital Taylorism”
At the center of the warning is a radical reshaping of the labor market. Citrini contends that AI will enable a rapid expansion of “digital Taylorism” into service work, breaking knowledge jobs into discrete tasks that machines can perform cheaper and faster than humans.
“White-collar workers lost jobs to machines and were forced into lower-paying roles,” said Citrini, despite official boasts of record productivity.
Call center work, basic accounting, legal discovery, graphic design, routine diagnostics and coding are all flagged as ripe for automation.
The result, the report argues, would be a bifurcation of services into a small, highly paid automated sector and a vast pool of low-wage workers competing for what remains.
Economist William Baumol’s “cost disease” thesis frames the concern. As AI industrializes services, essential sectors such as healthcare and education grow more expensive while overall employment shrinks — reversing decades of job growth in knowledge work.
Overcapacity threatens the future of work
The second warning draws from economist Robert Brenner’s analysis of the manufacturing overcapacity that fueled the global crisis of the 1970s. Rather than retreat from saturated markets, Citrini argues, firms will double down on AI adoption to survive.
“The companies most threatened by AI became AI’s most aggressive adopters,” the report observed.
That dynamic, compounded by governments shoring up domestic AI champions in a race for geopolitical dominance, could produce persistent service-sector overcapacity — eroding profits, dampening investment and gutting opportunities for knowledge workers worldwide.
The report also warns of the unraveling of “rentier” intermediary roles — accountants, compliance officers, consultants — whose functions AI agents can now replicate. Citrini notes that “trillions of dollars of enterprise value depended on those constraints persisting.”
Rather than the utopian abundance promised by Silicon Valley, the report concluded, AI’s success could deliver the opposite: a deeper stagnation and a workforce left with fewer rungs to climb.
